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Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study
Distant metastasis is still the main cause of death from breast cancer. MicroRNAs (miRs) are important regulators of many physiological and pathological processes, including metastasis. Molecular breast cancer subtypes are known to show a site-specific pattern of metastases formation. In this study,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356868/ https://www.ncbi.nlm.nih.gov/pubmed/27902972 http://dx.doi.org/10.18632/oncotarget.13623 |
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author | Schrijver, Willemijne A.M.E. van Diest, Paul J. Moelans, Cathy B |
author_facet | Schrijver, Willemijne A.M.E. van Diest, Paul J. Moelans, Cathy B |
author_sort | Schrijver, Willemijne A.M.E. |
collection | PubMed |
description | Distant metastasis is still the main cause of death from breast cancer. MicroRNAs (miRs) are important regulators of many physiological and pathological processes, including metastasis. Molecular breast cancer subtypes are known to show a site-specific pattern of metastases formation. In this study, we set out to determine the underlying molecular mechanisms of site-specific breast cancer metastasis by microRNA expression profiling. To identify a miR signature for metastatic breast carcinoma that could predict metastatic localization, we compared global miR expression in 23 primary breast cancer specimens with their corresponding multiple distant metastases to ovary (n=9), skin (n=12), lung (n=10), brain (n=4) and gastrointestinal tract (n=10) by miRCURY microRNA expression arrays. For validation, we performed quantitative real-time (qRT) PCR on the discovery cohort and on an independent validation cohort of 29 primary breast cancer specimens and their matched metastases. miR expression was highly patient specific and miR signatures in the primary tumor were largely retained in the metastases, with the exception of several differentially expressed, location specific miRs. Validation with qPCR demonstrated that hsa-miR-106b-5p was predictive for the development of lung metastases. In time, the second metastasis often showed a miR upregulation compared to the first metastasis. This study discovered a metastatic site-specific miR and found miR expression to be highly patient specific. This may lead to novel biomarkers predicting site of distant metastases, and to adjuvant, personalized targeted therapy strategies that could prevent such metastases from becoming clinically manifest. |
format | Online Article Text |
id | pubmed-5356868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53568682017-04-20 Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study Schrijver, Willemijne A.M.E. van Diest, Paul J. Moelans, Cathy B Oncotarget Research Paper Distant metastasis is still the main cause of death from breast cancer. MicroRNAs (miRs) are important regulators of many physiological and pathological processes, including metastasis. Molecular breast cancer subtypes are known to show a site-specific pattern of metastases formation. In this study, we set out to determine the underlying molecular mechanisms of site-specific breast cancer metastasis by microRNA expression profiling. To identify a miR signature for metastatic breast carcinoma that could predict metastatic localization, we compared global miR expression in 23 primary breast cancer specimens with their corresponding multiple distant metastases to ovary (n=9), skin (n=12), lung (n=10), brain (n=4) and gastrointestinal tract (n=10) by miRCURY microRNA expression arrays. For validation, we performed quantitative real-time (qRT) PCR on the discovery cohort and on an independent validation cohort of 29 primary breast cancer specimens and their matched metastases. miR expression was highly patient specific and miR signatures in the primary tumor were largely retained in the metastases, with the exception of several differentially expressed, location specific miRs. Validation with qPCR demonstrated that hsa-miR-106b-5p was predictive for the development of lung metastases. In time, the second metastasis often showed a miR upregulation compared to the first metastasis. This study discovered a metastatic site-specific miR and found miR expression to be highly patient specific. This may lead to novel biomarkers predicting site of distant metastases, and to adjuvant, personalized targeted therapy strategies that could prevent such metastases from becoming clinically manifest. Impact Journals LLC 2016-11-25 /pmc/articles/PMC5356868/ /pubmed/27902972 http://dx.doi.org/10.18632/oncotarget.13623 Text en Copyright: © 2017 Schrijver et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Schrijver, Willemijne A.M.E. van Diest, Paul J. Moelans, Cathy B Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title | Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title_full | Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title_fullStr | Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title_full_unstemmed | Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title_short | Unravelling site-specific breast cancer metastasis: a microRNA expression profiling study |
title_sort | unravelling site-specific breast cancer metastasis: a microrna expression profiling study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356868/ https://www.ncbi.nlm.nih.gov/pubmed/27902972 http://dx.doi.org/10.18632/oncotarget.13623 |
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